We adopt several evaluation metrics to assess the performance of online continual learning, including: average incremental accuracy (\(\mathbb {A}\) ), end accuracy (\(\mathbb {E}\) ), forgetting measure (\(\mathbb {F}\) ) [1]}, centered kernel alignment (\(\mathbb {CKA}\) ) [2]}, and balance measure (\(\beta \) ) [3]}, in which they are detailed in Appendix REF .
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